To verify the effectiveness of each task in the proposed SegCrowdNet, we perform ablation studies on ShanghaiTech Part_A [1]} which is a large scale and high-density dataset, the dataset contains 482 images with 241,667 annotated persons. In other datasets, similar results can be observed.
